Evidence map›Paper›PMID 40969287›Full record

ArticlePediatric investigation2025

Epidemiology and the cost burden of hospitalized pediatric-onset inflammatory bowel disease in China: A national database study.

Xiaolu Nie, Jing Li, Hui Xu, Fang Hu, Xiaolin Ye, Mengmeng Yu, Guoshuang Feng, Yueping Zeng, Xin Ni, Jie Wu and 2 more

Abstract read
In one paragraph

Article in Pediatric investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Xiaolu NieCenter for Clinical Epidemiology and Evidence-based Medicine Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.
Jing LiDepartment of Gastroenterology Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.
Hui XuBig Data Center Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.
Fang HuCenter for Clinical Epidemiology and Evidence-based Medicine Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.
Xiaolin YeDepartment of Gastroenterology Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.
Mengmeng YuDepartment of Gastroenterology Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital Zhengzhou Children's Hospital Zhengzhou China.
Guoshuang FengBig Data Center Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.ORCID https://orcid.org/0000-0002-1998-2951
Yueping ZengMedical Record Management Office Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.
Xin NiBig Data Center Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.ORCID https://orcid.org/0000-0002-7781-2600
Jie WuDepartment of Gastroenterology Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.
Xiaoxia PengCenter for Clinical Epidemiology and Evidence-based Medicine Beijing Children's Hospital, Capital Medical University, National Center for Children's Health Beijing China.ORCID https://orcid.org/0000-0001-8789-469X
Futang Research Center of Pediatric Development (FRCPD)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Understanding the epidemiology and cost burden of pediatric-onset inflammatory bowel disease (PIBD) is crucial for shedding light on its pathogenesis and making medical insurance decisions, particularly for very early-onset IBD (VEO-IBD). Objective: To assess the epidemiology and cost burden of hospitalized PIBD and VEO-IBD. Methods: A multicenter study identified hospitalized PIBD patients aged 0-18 years using the FUTang Updating medical REcords database from 28 hospitals in mainland China (2016-2021). Sociodemographic, clinical characteristics, length of stay (LOS), and expense data were analyzed. The cost burden was evaluated by dividing annual out-of-pocket expenditure by household disposable income. Clinical epidemiology and cost burden were compared between Crohn's disease (CD), ulcerative colitis (UC), IBD-unclassified (IBD-U), and different age groups. Results: A total of 5230 hospitalized cases of PIBD were identified. Mean ages for CD (11.8 ± 3.9 years) and UC (8.0 ± 5.2 years) were significantly higher than those of patients with IBD-U (4.5 ± 4.1 years). Hospitalizations for CD showed a notable annual increase. Patients with CD had a shorter LOS (median 3 days) than those with UC (median 6 days) and IBD-U (median 7 days). The number of VEO-CD hospitalizations increased, while that of VEO-UC declined (2016-2021). The median total hospitalization expenses were $1006.7 for CD and $841.6 for UC. The average proportion of annual cost burden of IBD for each PIBD patient from 2016 to 2021 was 16.47%, 14.34%, 20.55%, 18.45%, 12.13%, and 11.16%, respectively, which has declined significantly since 2020. Interpretation: This study provides insight into the clinical characteristics and cost burden of PIBD and VEO-IBD in China. Hospitalizations for PIBD, particularly for CD, are increasing. Guidelines and health insurance policies can help mitigate this cost burden.

Indexed as

ChildhoodChinaCost burdenEpidemiologyInflammatory bowel diseaseVery early‐onset IBD

Identifiers

PMID40969287
PMCPMC12442449

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.